一、授权的部分代表性国家发明专利（第1发明人授权人工智能国家发明专利35项）
1. 智能机器人与装备方面：
1.1 移动机器人指令安全可行性的判断方法，授权专利号：201610231601.2.
1.2 基于人脸位置和灵敏度参数的移动机器人人机控制系统，授权专利号：201610230027.9.
1.3 一种基于多Kinect协同的移动机器人室内全视角识别装置及其控制系统和方法，授权专利号：201610654716.2.
1.4 一种机器人运输虚拟可视化控制方法及系统，授权专利号：201610743319.2
1.5 一种实现机器人车载导航装置实测坐标校正与预测的方法，授权专利号：201610825132.7
1.6 一种智能环境运载机器人识别楼层的参数化测量多模型智能融合方法，授权专利号：201710630336.X
1.7 一种运载机器人手臂操控自适应混合学习映射智能控制方法及系统，授权专利号：201710636798.2
1.8 一种运载机器人复杂混合路径协同自适应智能规划方法，授权专利号：201710640560.7
1.9 一种智能室外环境的车辆及机器人运载导航方法及系统，授权专利号：201710643095.2
1.10一种融合无人机牵引的智能车辆及机器人室外运载方法，授权专利号：201710643174.3

2. 智能铁路与大数据预测方面：

2.1 一种多模型多特征融合的高速铁路沿线风速预测方法，授权专利号：201611020632.X.
2.2 一种基于无人机群智能续航控制的铁路沿线风速测量方法与控制系统，授权专利号：201710298265.8
2.3 一种基于无人机群三维全视角的列车受电弓实时智能监测方法及系统，授权专利号：201710299446.2
2.4 一种铁路沿线异物侵限无人机智能辨识和预警方法及系统，授权专利号：201710300788.1
2.5 一种基于Kinect的轨道列车驾驶员状态的实时监测预警方法与系统，授权专利号：201710470384.7
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二、出版学术专著 1. 《铁路沿线大风风速智能预测理论》，第1作者，人民交通出版社，35.8万字 2. 《时间序列混合智能辨识、建模与预测》，第1作者，科学出版社（已签约，待出版）

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三、部分代表性国际期刊论文（第一作者ESI 0.1%热点论文3篇、ESI 1%高被引论文9篇）

1. Liu H.*; Tian H.Q.; Li Y.F.: Comparison of new hybrid FEEMD-MLP, FEEMD-ANFIS, Wavelet Packet-MLP and Wavelet Packet-ANFIS for wind speed predictions. Energy Conversion and Management, 2015, 89: 1-11. (影响因子: 5.589, JCR-Q1 国际SCI一区权威期刊, 入选全球ESI前0.1%热点论文-ESI Top 0.1% Hot Paper)

2. Liu H.*; Tian H.Q.; Liang X.F.; Li Y.F.: New Wind Speed Forecasting Approaches Using Fast Ensemble Empirical Model Decomposition, Genetic Algorithm, Mind Evolutionary Algorithm and Artificial Neural Networks. Renewable Energy, 2015, 83: 1066-1075. (影响因子: 4.357, JCR-Q1国际SCI一区权威期刊, 入选全球ESI前0.1%热点论文-ESI Top 0.1% Hot Paper)

3. Liu H.*; Tian H.Q.; Li Y.F.: Comparison of two new ARIMA-ANN and ARIMA-Kalman hybrid methods for wind speed prediction. Applied Energy, 2012, 98(10): 415-424. (影响因子: 7.182, JCR-Q1国际SCI一区权威期刊, 入选全球ESI前1%高被引论文-ESI Highly Cited Paper)

4. Liu H.*; Tian H.Q.; Pan D.F.; Li Y.F.: Forecasting models for wind speed using wavelet, wavelet packet, time series and artificial neural networks. Applied Energy, 2013, 107(7): 191-208. (影响因子: 7.182, JCR-Q1国际SCI一区权威期刊, 入选全球ESI前1%高被引论文-ESI Highly Cited Paper)

5. Liu H.*; Tian H.Q.; Li Y.F.; Zhang L.: Comparison of four Adaboost algorithm based artificial neural networks in wind speed predictions. Energy Conversion and Management, 2015, 92: 67-81. (影响因子: 5.589, JCR-Q1 国际SCI一区权威期刊, 入选全球ESI前1%高被引论文-ESI Highly Cited Paper)

6. Liu H.*; Tian H.Q.; Liang X.F.; Li Y.F.: Wind speed forecasting approach using secondary decomposition algorithm and Elman neural networks. Applied Energy, 2015, 157(11): 183-194. (影响因子: 7.182, JCR-Q1国际SCI一区权威期刊, 入选全球ESI前0.1%热点论文-ESI Top 0.1% Hot Paper)

7. Liu H.*; Tian H.Q.; Li Y.F.: Four Wind Speed Forecasting Models Using Extreme Learning Machines and Signal Decomposing Algorithms. Energy Conversion and Management, 2015, 100: 16-22. (影响因子: 5.589, JCR-Q1国际SCI一区权威期刊)

8. Liu H.*; Tian H.Q.; Chen C.; Li Y.F.: An experimental investigation of two Wavelet-MLP hybrid frameworks for wind speed prediction using GA and PSO optimization. International Journal of Electrical Power and Energy Systems, 2013, 52(11): 161-173. DOI: 10.1016/j.ijepes.2013.03.034. (影响因子: 3.289, JCR-Q1国际SCI一区权威期刊)

9. Liu H.*; Chen C.; Tian H.Q.; Li Y.F.: A hybrid model for wind speed prediction using empirical mode decomposition and artificial neural network. Renewable Energy, 2012, 48(12): 545-556. (影响因子: 4.357, JCR-Q1国际SCI一区权威期刊)

10. Liu H.*; Tian H.Q.; Li Y.F.: An EMD-Recursive ARIMA Method to Predict Wind Speed for Railway Strong Wind Warning System. Journal of Wind Engineering & Industrial Aerodynamics, 2015, 141(6): 27-38. (影响因子: 2.049, JCR-Q2国际SCI二区重要期刊)

11. Liu H.*, Duan Z., Han F.Z., Li Y.F.: Big multi-step wind speed forecasting model based on secondary decomposition, ensemble method and error correction algorithm. Energy Conversion and Management, 2018, 156(1): 525-541. (影响因子: 5.589, JCR-Q1国际SCI一区权威期刊)

12. Liu H., Mi X.W., Li Y.F.*: Wind speed forecasting method based on deep learning strategy using empirical wavelet transform, long short term memory neural network and Elman neural network. Energy Conversion and Management, 2018, 156(1): 498-514. (影响因子: 5.589, JCR-Q1国际SCI一区权威期刊)

13. Liu H., Mi X.W., Li Y.F.*: Comparison of two new intelligent wind speed forecasting approaches based on Wavelet Packet Decomposition, Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Artificial Neural Networks. Energy Conversion and Management, 2018, 156(1): 188-200. (影响因子: 5.589, JCR-Q1国际SCI一区权威期刊)

14. Mi X.W., Liu H., Li Y.F.*: Wind speed forecasting method using wavelet, extreme learning machine and outlier correction algorithm. Energy Conversion and Management, 2018, 156(1): 709-722. (影响因子: 5.589, JCR-Q1国际SCI一区权威期刊)

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四、国内期刊论文（请查询期刊网，此处省略）

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五、国际学术会议（特邀报告/大会报告）

1. （英国伦敦）Liu H.*; Stoll, N.; Junginger S.; Thurow, K.: Human-Mobile Robot Interaction in Laboratories Using Kinect Sensor and ELM based Face Feature Recognition, IEEE HSI-International Conference on Human System Interaction, London (UK), 6-8, July, 2016. (国际人机接口领域旗舰会议）

2. （美国明尼苏达）Liu H.*; Stoll, N.; Junginger S.; Thurow, K.: A Fast Method for Mobile Robot Transportation in Life Science Automation, IEEE I2MTC-International Instrumentation and Measurement Technology Conference, Minneapolis (USA), 6-9, May, 2013, pp. 238-242. (国际测量与仪器领域最权威会议）

3. （美国明尼苏达）Liu H.*; Stoll, N.; Junginger S.; Thurow, K.: An Application of Charging Management for Mobile Robot Transportation in Laboratory Environments, IEEE I2MTC-International Instrumentation and Measurement Technology Conference, Minneapolis (USA), 6-9, May, 2013, pp. 435-439. (国际测量与仪器领域最权威会议）

4. （奥地利格拉茨）Liu H.*; Stoll, N.; Junginger S.; Thurow, K.: A Common Wireless Remote Control System for Mobile Robots in Laboratory, Proceedings, IEEE I2MTC-International Instrumentation and Measurement Technology Conference, Graz (Austria), 13-16, May, 2012, pp. 688-693. (国际测量与仪器领域最权威会议）

5. （韩国首尔）Liu H.*; Stoll, N.; Junginger S.; Thurow, K.: A Floyd-Dijkstra Hybrid Application for Mobile Robot Path Planning in Life Science Automation, Proceedings, IEEE CASE-8th IEEE International Conference on Automation Science and Engineering, Seoul (Korea), 20-24, August, 2012, pp. 275-280. (国际自动化领域旗舰会议）

6. （意大利披萨）Ali M. M.; Liu H.*; Stoll, R.; Thurow, K.: Arm Grasping for Mobile Robot Transportation Using Kinect Sensor and Kinematic Analysis. IEEE I2MTC-International Instrumentation and Measurement Technology Conference, Italy (Pisa), 11-14, May, 2015, pp. 516-521. (国际测量与仪器领域最权威会议）

7. （意大利披萨）Abdulla A. A. A.; Liu H.*; Stoll, N.; Thurow, K.: Multi-floor Navigation Method for Mobile Robot Transportation Based on StarGazer Sensors in Life Science Automation. IEEE I2MTC-International Instrumentation and Measurement Technology Conference, Italy (Pisa), 11-14, May, 2015, pp. 428–433. (国际测量与仪器领域最权威会议）

8. （意大利披萨）Ghandour M.; Liu H.*; Stoll, N.; Thurow, K.: Improving the Navigation of Indoor Mobile Robots Using Kalman Filter. IEEE I2MTC-International Instrumentation and Measurement Technology Conference, Italy (Pisa), 11-14, May, 2015, pp. 1434-1439. (国际测量与仪器领域最权威会议）

9. （印度尼西亚巴厘）Liu, H.*; Stoll, N.; Junginger, S.; Thurow, K.: A New Approach to Battery Power Tracking and Predicting for Mobile Robot Transportation Using Wavelet Decomposition and ANFIS Networks. Proceedings, IEEE ROBIO-IEEE International Conference on Robotics and Biomimetics, Bali (Indonesia), 5-10, December, 2014, pp. 253-258. (国际机器人领域旗舰会议）

10. （印度尼西亚巴厘）Liu, H.*; Stoll, N.; Junginger, S.; Thurow, K.: Mobile Robotic Transportation in Laboratory Automation: Multi-robot Control, Robot-Door Integration and Robot-Human Interaction. Proceedings, IEEE ROBIO-IEEE International Conference on Robotics and Biomimetics, Bali (Indonesia), 5-10, December, 2014, pp. 1033-1038. (国际机器人领域旗舰会议）

11. （中国珠海）Liu, H.*; Stoll, N.; Junginger, S.; Thurow, K.: Human Face Orientation Recognition for Mobile Robot Transportation in Laboratory Automation using Hybrid Edge Detection and LVQ Neural Networks. Proceedings, IEEE ROBIO-IEEE International Conference on Robotics and Biomimetics, Zhuhai (China), 6-9, December, 2015, pp. 2003-2007. (国际机器人领域旗舰会议）

12. （中国珠海）Liu, H.*; Stoll, N.; Junginger, S.; Thurow, K.: New Localization Strategy for Mobile Robot Transportation in Life Science Automation Using StarGazer Sensor, Time Series Modeling and Kalman Filter Processing. Proceedings, IEEE ROBIO-IEEE International Conference on Robotics and Biomimetics, Zhuhai (China), 6-9, December, 2015, pp. 164-168. (国际机器人领域旗舰会议）

13. （中国深圳）Liu H.*; Stoll, N.; Junginger S.; Thurow, K.: A New Method for Mobile Robot Arm Blind Grasping Using Ultrasonic Sensors and Artificial Neural Networks, Proceedings, IEEE ROBIO-IEEE International Conference on Robotics and Biomimetics, Shenzhen (China), 11-14, December, 2013, pp. 1360-1364. (国际机器人领域旗舰会议）

14. （中国广州）Liu H.*; Stoll, N.; Junginger S.; Thurow, K.: A Floyd-Genetic Algorithm Based Path Planning System for Mobile Robots in Laboratory Automation, Proceedings, IEEE ROBIO-IEEE International Conference on Robotics and Biomimetics, Guangzhou (China), 11-14, December, 2012, pp. 1550-1555. (国际机器人领域旗舰会议）